Which of the following statements about bias and variance are true?

$($Select TWO correct answers$)$

A$.$ High bias models are typically underfit.

B$.$ Overfitting tends to lead to models with high variance and low bias.

C$.$ You can usually optimize both bias and variance simultaneously by choosing a more complex model.

D$.$ You can usually optimize both bias and variance simultaneously by choosing better hardware with GPUs.